Hello World

Problem Addressed

Some AI agents jump straight into feature lists or task templates in the first turn, missing a natural, restrained greeting and context bridge. For customer service, community, or personal assistant experiences, the first line often determines whether a user feels comfortable describing a need. @user_9b53b338/my-hello-world has a narrow goal: help an agent produce friendly greetings, conversation starters, and basic self-introductions after it is triggered, without turning the opening into stiff marketing copy.

How It Works

The skill does not perform complex reasoning. Instead, it normalizes a simple interaction pattern:
- Standard greeting: when a user says Hello, the agent should return a welcome and ask how it can help.
- Morning greeting: when context includes signals such as Good morning, the opening can be more conversational.
- Introduction help: when a user asks for help introducing themselves, the agent should first ask about the setting, such as a professional context, social gathering, or another situation.
The guidelines keep the tone warm and friendly while requiring concise, personable language. The agent should adapt to context, offer assistance after the greeting, and use the user's name when available. This makes it useful as a first-layer dialogue template that keeps model output predictable.

Scope and Caveats

It is suitable for lightweight welcomes, low-friction openings, or simple self-introductions in agent products. It is not intended to replace complex business Q&A, task planning, multi-turn clarification, or professional support SOPs. The provided material does not mention external APIs, memory, databases, or tool calls, so it should not be assumed to handle authentication, historical user profiling, or deep copywriting. If a product already has fixed welcome copy, this skill is better used as a style constraint rather than a feature extension.